We built LawMate.lk the hard way — digitising a century of case reports, making them searchable, and getting a model to draft from them without inventing a single citation. The engineering that took is the engineering we bring to client work.
These are the problem shapes we take on. If yours looks like one of them, the conversation starts with your data — not a demo.
Keyword and semantic search combined, then re-ranked so the closest match surfaces first. This is the engine behind LawMate.lk's search across 15,000+ Sri Lankan case reports — the same approach works on contracts, tickets, manuals or archives.
Turn unstructured documents into structured fields. Pull parties, dates, obligations and amounts out of scanned or messy files, and make the result queryable.
Assistants that answer from your documents rather than from the model's general knowledge — and that say so when your documents do not cover the question.
Route, tag and triage incoming text at volume — support queues, feedback, filings — using models tuned to your categories rather than generic sentiment labels.
Generate long-form documents that follow your real templates and precedents. In LawMate.lk this produces court-ready filings; the same pattern fits any document your organisation writes to a fixed form.
Output in the language your users actually work in. We build and run this in English, Sinhala and Tamil end to end, including export to Word and PDF with the script intact.
Summaries and answers where every claim carries a link back to the passage it came from, so a reader can verify rather than trust.
Workflows that read a document, decide what it is, and carry it to the next step — with the judgement calls escalated to a person instead of guessed.
Agents that plan a task, retrieve what they need and work through to a finished artefact rather than a single reply — the architecture behind LawMate.lk's drafting canvas.
Agents wired into your own systems — databases, internal APIs, document stores — so they act on live data instead of a stale snapshot.
Autonomy where it is cheap to be wrong, and a person in the path where it is not. We draw that boundary deliberately and keep every agent decision auditable after the fact.